EDBT 2026 Demo / reviewers in the wild / expert
Andre Putnam
dblp:200/2312
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Reconfigurable computing and FPGAs · 44% Cloud and datacenter computing · 44% Hardware accelerators and domain-specific architectures · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Reconfigurable computing and FPGAs › cloud FPGA
cloud FPGA acceleration |
0.3 | 1 | 2017 | The Configurable Cloud - Accelerating Hyperscale Datacenter Services with FPGA · ICDE 2017 |
Cloud and datacenter computing › datacenter architecture
datacenter acceleration |
0.3 | 1 | 2017 | The Configurable Cloud - Accelerating Hyperscale Datacenter Services with FPGA · ICDE 2017 |
Hardware accelerators and domain-specific architectures
machine learning accelerator |
0.1 | 1 | 2017 | The Configurable Cloud - Accelerating Hyperscale Datacenter Services with FPGA · ICDE 2017 |
Methods — techniques the papers use, named apart from their topics
FPGA reconfiguration · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | The Configurable Cloud - Accelerating Hyperscale Datacenter Services with FPGAabstractSummary form only given. The Catapult project has brought the power and performance of FPGA-based reconfigurable computing to Microsoft's hyperscale datacenters, accelerating major production cloud applications such as Bing Web search and Microsoft Azure, and enabling a new generation of machine learning and artificial intelligence applications. Catapult is now deployed in nearly every new server across the more than a million machines that make up the Microsoft hyperscale cloud. In this talk, I will describe the next generation of the Catapult configurable cloud architecture, show some of the applications have been accelerated by Catapult, and discuss the experiences and lessons learned while bringing up the first applications in the configurable cloud. In particular, I will highlight the impact that this new Configurable Cloud architecture has on data-centric applications, where specialized hardware blurs the boundaries between compute and storage, and between local and remote servers. The configurable cloud will form a new infrastructure on which the next generation of data mining, databases, and Big Data applications can be built. Andre Putnam |
ICDE | 1 |